| Prior Guided Feature Enrichment Network for Few-Shot Segmentation Z Tian, H Zhao, M Shu, Z Yang, R Li, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 | 596 | 2020 |
| LISA: Reasoning Segmentation via Large Language Model X Lai, Z Tian*, Y Chen, Y Li, Y Yuan, S Liu, J Jia CVPR 2024, Oral, 2024 | 386 | 2024 |
| Semi-supervised Semantic Segmentation with Directional Context-aware Consistency X Lai, Z Tian, L Jiang, S Liu, H Zhao, L Wang, J Jia CVPR 2021, 2021 | 261 | 2021 |
| Learning shape-aware embedding for scene text detection Z Tian, M Shu, P Lyu, R Li, C Zhou, X Shen, J Jia CVPR 2019, 2019 | 259 | 2019 |
| Reslt: Residual learning for long-tailed recognition J Cui, S Liu, Z Tian, Z Zhong, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 152 | 2022 |
| Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation L Jiang, S Shi, Z Tian, X Lai, S Liu, CW Fu, J Jia ICCV 2021, 2021 | 152 | 2021 |
| Generalized Few-Shot Semantic Segmentation Z Tian, X Lai, L Jiang, S Liu, M Shu, H Zhao, J Jia CVPR 2022, 2022 | 97 | 2022 |
| Hierarchical Dense Correlation Distillation for Few-Shot Segmentation B Peng, Z Tian*, X Wu, C Wang, S Liu, J Su, J Jia CVPR 2023, Highlight, 2023 | 93 | 2023 |
| Homomorphic latent space interpolation for unpaired image-to-image translation YC Chen, X Xu, Z Tian, J Jia CVPR 2019, Oral, 2019 | 81 | 2019 |
| DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation X Lai, Z Tian, X Xu, Y Chen, S Liu, H Zhao, L Wang, J Jia ECCV 2022, 2022 | 58 | 2022 |
| Generalized Parametric Contrastive Learning J Cui, Z Zhong, Z Tian, S Liu, B Yu, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 55 | 2023 |
| Decoupled Kullback-Leibler Divergence Loss J Cui, Z Tian, Z Zhong, X Qi, B Yu, H Zhang NeurIPS 2024, 2024 | 41 | 2024 |
| Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions D Zhang, Y Lin, H Chen, Z Tian, X Yang, J Tang, KT Cheng arXiv preprint arXiv:2209.10307, 2022 | 41* | 2022 |
| Spatial Pruned Sparse Convolution for Efficient 3D Object Detection J Liu, Y Chen, X Ye, Z Tian, X Tan, X Qi NeurIPS 2022, 2022 | 40 | 2022 |
| Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training X Wu, Z Tian, X Wen, B Peng, X Liu, K Yu, H Zhao CVPR 2024, 2024 | 36 | 2024 |
| Pfenet++: Boosting few-shot semantic segmentation with the noise-filtered context-aware prior mask X Luo^, Z Tian^, T Zhang, B Yu, YY Tang, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 36 | 2023 |
| Adaptive Perspective Distillation for Semantic Segmentation Z Tian, P Chen, X Lai, L Jiang, S Liu, H Zhao, B Yu, MC Yang, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 34 | 2022 |
| Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs X Lai, Z Tian, Y Chen, S Yang, X Peng, J Jia arXiv preprint arXiv:2406.18629, 2024 | 30 | 2024 |
| Pointcept: A codebase for point cloud perception research P Contributors | 30 | 2023 |
| Learning Context-aware Classifier for Semantic Segmentation Z Tian, J Cui, L Jiang, X Qi, X Lai, Y Chen, S Liu, J Jia AAAI 2023, Oral, 2023 | 25 | 2023 |
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKcse.ust.hk의 이메일 확인됨